High risk of conversion to diabetes in first-degree relatives of individuals with young-onset type 2 diabetes: a 12-year follow-up analysis.

AIM: Family history of diabetes is an established risk factor for Type 2 diabetes, but the impact of a family history of young-onset diabetes (onset < 40 years) on future risk of diabetes among first-degree relatives is unclear. In this prospective study, we examined the influence of family history of late- versus young-onset diabetes on the development of diabetes in a young to middle-aged Chinese population. METHODS: Some 365 siblings identified through probands with Type 2 diabetes and 452 participants from a community-based health awareness project (aged 18-55 years) who underwent metabolic assessment during the period 1998-2002 were followed to 2012-2013 to determine their glycaemic status. Multivariate logistic regression was performed to investigate the association of family history of diabetes presented at different age categories with development of diabetes. RESULTS: In this cohort, 53.4% (n = 167) of participants with a family history of young-onset diabetes, 30.1% (n = 68) of those with a family history of late-onset diabetes and 14.4% (n = 40) of those without a family history developed diabetes. Using logistic regression, family history of diabetes presented at ages ≥ 50, 40-49, 30-39 and < 30 years, increased conversion to diabetes with respective odds ratios of 2.4, 5.8, 9.4 and 7.0 (P < 0.001 for all), after adjustment for socio-economic status, smoking, obesity, hypertension and dyslipidaemia. Among participants without diabetes at baseline, risk association of family history of late-onset diabetes with incident diabetes was not sustained, whereas that of family history of young-onset diabetes remained robust on further adjustment for baseline glycaemic measurements. CONCLUSIONS: First-degree relatives of people with Type 2 diabetes, especially relatives of those with young-onset diabetes, are at high risk for diabetes.

A multicentre demonstration project to evaluate the effectiveness and acceptability of the web-based Joint Asia Diabetes Evaluation (JADE) programme with or without nurse support in Chinese patients with Type 2 diabetes.

AIMS: To test the hypothesis that delivery of integrated care augmented by a web-based disease management programme and nurse coordinator would improve treatment target attainment and health-related behaviour. METHODS: The web-based Joint Asia Diabetes Evaluation (JADE) and Diabetes Monitoring Database (DIAMOND) portals contain identical built-in protocols to integrate structured assessment, risk stratification, personalized reporting and decision support. The JADE portal contains an additional module to facilitate structured follow-up visits. Between January 2009 and September 2010, 3586 Chinese patients with Type 2 diabetes from six sites in China were randomized to DIAMOND (n = 1728) or JADE, plus nurse-coordinated follow-up visits (n = 1858) with comprehensive assessments at baseline and 12 months. The primary outcome was proportion of patients achieving ≥ 2 treatment targets (HbA1c < 53 mmol/mol (7%), blood pressure < 130/80 mmHg and LDL cholesterol < 2.6 mmol/l). RESULTS: Of 3586 participants enrolled (mean age 57 years, 54% men, median disease duration 5 years), 2559 returned for repeat assessment after a median (interquartile range) follow-up of 12.5 (4.6) months. The proportion of participants attaining ≥ 2 treatment targets increased in both groups (JADE 40.6 to 50.0%; DIAMOND 38.2 to 50.8%) and there were similar absolute reductions in HbA1c [DIAMOND -8 mmol/mol vs JADE -7 mmol/mol (-0.69 vs -0.62%)] and LDL cholesterol (DIAMOND -0.32 mmol/l vs JADE -0.28 mmol/l), with no between-group difference. The JADE group was more likely to self-monitor blood glucose (50.5 vs 44.2%; P = 0.005) and had fewer defaulters (25.6 vs 32.0%; P < 0.001). CONCLUSIONS: Integrated care augmented by information technology improved cardiometabolic control, with additional nurse contacts reducing the default rate and enhancing self-care. (Clinical trials registry no.: NCT01274364).

Non-linear relationship between birthweight and cardiometabolic risk factors in Chinese adolescents and adults.

AIM: To investigate the relationship between birthweight and cardiometabolic traits in two cohorts: one of Chinese adolescents and one of Chinese adults. METHODS: Birthweight and clinical data, including anthropometric traits, fasting plasma glucose and fasting plasma insulin levels, blood pressure and lipid profiles were collected from 2035 adolescents and 456 adults. A subset of 735 subjects underwent an oral glucose tolerance test to measure the glucose and insulin concentrations at 0, 15, 30, 60 and 120 min. RESULTS: Among adolescents, birthweight showed U-shaped relationships with larger body size, obesity, abdominal obesity in girls, insulin resistance and worse lipid profiles (0.0013 < P(quadratic) < 0.0499), as well as an inverse association with fasting plasma glucose (P(linear) = 0.0368). After further adjustment for adiposity, decreasing birthweight was associated with elevated fasting plasma glucose levels, greater insulin resistance and worse lipid profiles (3.1 × 10⁻5 < P(linear) < 0.0058). Among adults, high birthweight was associated with larger body size and abdominal obesity in men, while low birthweight was associated with elevated glucose levels at 15, 30, 60 and 120 min and a greater area under the curve at 0-120 min, as well as with ß-cell dysfunction (6.5 × 10⁻5 < P(linear) < 0.0437). Adjustment for adult adiposity did not substantially change the relationships. There was significant interaction between birthweight and abdominal obesity in elevating fasting plasma insulin and homeostasis model assessment of insulin resistance (P > 0.05), with abdominally obese adolescents in the lowest birthweight category (≤ 2.5 kg) having the highest risk of insulin resistance. CONCLUSIONS: Both high and low birthweights are associated with an increased risk of cardiometabolic abnormalities including obesity, abdominal obesity, hyperglycaemia, dyslipidaemia and insulin resistance, as well as with ß-cell dysfunction.

Early gene-diet interaction between glucokinase regulatory protein (GCKR) polymorphism, vegetable and fish intakes in modulating triglyceride levels in healthy adolescents.

BACKGROUND AND AIMS: The benefits of dietary vegetable and fish consumptions on improving glucose and lipid metabolism have been well established. Recently, the T-allele of a common genetic variant rs780094 at glucokinase regulatory protein (GCKR) was reported to be associated with elevated triglyceride (TG) levels but reduced fasting plasma glucose (FPG) and type 2 diabetes risk. However, the dietary modulation on genetic risk is not clearly understood. METHODS AND RESULTS: A cohort of 2095 Chinese adolescents (mean age 15.6 ± 2.0 years, 45.3% male) recruited from a population-based school survey for cardiovascular risk factor assessment, with dietary data including weekly vegetable and fish consumptions as well as clinical data were genotyped for the GCKR rs780094 polymorphism. In the linear regression analysis with adjustment for sex, age, body mass index, and socioeconomic status (school banding, paternal and maternal education levels), the frequency of vegetable intake per week was inversely associated with FPG (P = 0.044). Individuals with low fish intake generally had elevated TG levels but reduced TC, HDL-C and LDL-C (0.006 < P < 0.029). We also observed significant associations of the minor T-allele of GCKR rs780094 with decreased FPG (P = 0.013) and increased TG levels (P = 2.7 × 10(-8)). There were significant gene-diet interactions between rs780094 and vegetable consumption (P(interaction) = 0.009), and between rs780094 and fish consumption (P(interaction) = 0.031) in modulating TG levels. The T-allele of GCKR locus was associated with higher TG levels amongst individuals with ≥7 vegetable meals per week (P = 6.4 × 10(-9)), and among individuals with <7 fish meals per week (P = 0.020 and 7.0 × 10(-7) for 4-6 and ≤3 meals per week, respectively). High intake of vegetable exerted a reduction in TG levels only among CC genotype carriers (Ptrend = 0.020), while high intake of fish was associated with reduced TG levels only among TT genotype carriers (Ptrend = 0.026). CONCLUSIONS: In summary, our data indicated that the favorable associations of higher vegetable and fish intakes on TG levels are dependent on the genetic background of an individual. In particular, at-risk TT- genotype carriers of the GCKR variant may derive more benefits from a high fish intake, while the CC-genotype carriers may find further benefits from a high consumption of vegetable.

Diabetes and pregnancy: perspectives from Asia.

There has been a marked increase in the prevalence of diabetes in Asia over recent years. Diabetes complicating pregnancy, in particular gestational diabetes, has also increased markedly in the region. Multi-ethnic studies have highlighted the increased risk of gestational diabetes mellitus among the different Asian populations. Prevalence of gestational diabetes in Asian countries varies substantially according to the screening strategy and diagnostic criteria applied, and ranges from 1% to 20%, with evidence of an increasing trend over recent years. The International Association for Diabetes in Pregnancy Study group criteria have been adopted by some Asian countries, although they present significant challenges in implementation, especially in low-resource settings. Studies on offspring of mothers with gestational diabetes have reported adverse cardiometabolic profiles and increased risk of diabetes and obesity. Gestational diabetes is likely to be a significant factor contributing to the epidemic of diabetes and other non-communicable diseases in the Asian region. In recognition of this, several large-scale prevention and intervention programmes are currently being implemented in different Asian countries in order to improve glucose control during pregnancy, as well as overall maternal health. Lessons emerging from gestational diabetes studies in Asia may help inform and provide insights on the overall burden and treatment strategies to target gestational diabetes, with the ultimate aim to reduce its adverse short- and long-term consequences.

Genome-wide association study in a Chinese population identifies a susceptibility locus for type 2 diabetes at 7q32 near PAX4.

AIMS/HYPOTHESIS: Most genetic variants identified for type 2 diabetes have been discovered in European populations. We performed genome-wide association studies (GWAS) in a Chinese population with the aim of identifying novel variants for type 2 diabetes in Asians. METHODS: We performed a meta-analysis of three GWAS comprising 684 patients with type 2 diabetes and 955 controls of Southern Han Chinese descent. We followed up the top signals in two independent Southern Han Chinese cohorts (totalling 10,383 cases and 6,974 controls), and performed in silico replication in multiple populations. RESULTS: We identified CDKN2A/B and four novel type 2 diabetes association signals with p < 1 × 10(-5) from the meta-analysis. Thirteen variants within these four loci were followed up in two independent Chinese cohorts, and rs10229583 at 7q32 was found to be associated with type 2 diabetes in a combined analysis of 11,067 cases and 7,929 controls (p meta = 2.6 × 10(-8); OR [95% CI] 1.18 [1.11, 1.25]). In silico replication revealed consistent associations across multiethnic groups, including five East Asian populations (p meta = 2.3 × 10(-10)) and a population of European descent (p = 8.6 × 10(-3)). The rs10229583 risk variant was associated with elevated fasting plasma glucose, impaired beta cell function in controls, and an earlier age at diagnosis for the cases. The novel variant lies within an islet-selective cluster of open regulatory elements. There was significant heterogeneity of effect between Han Chinese and individuals of European descent, Malaysians and Indians. CONCLUSIONS/INTERPRETATION: Our study identifies rs10229583 near PAX4 as a novel locus for type 2 diabetes in Chinese and other populations and provides new insights into the pathogenesis of type 2 diabetes.

Addressing different biases in analysing drug use on cancer risk in diabetes in non-clinical trial settings--what, why and how?

Motivated by recent reports on associations between diabetes and cancer, many researchers have used administrative databases to examine risk association of cancer with drug use in patients with diabetes. Many of these studies suffered from major biases in study design and data analysis, which can lead to erroneous conclusions if these biases are not adjusted. This article discusses the sources and impacts of these biases and methods for correction of these biases. To avoid erroneous results, this article suggests performing sensitivity and specificity analysis as well as using a drug with a known effect on an outcome to ascertain the validity of the proposed methods. Using the Hong Kong Diabetes Registry, we illustrated the impacts of biases of drug use indication and prevalent user by examining the effects of statins on cardiovascular disease. We further showed that 'immortal time bias' may have a neutral impact on the estimated drug effect if the hazard is assumed to be constant over time. On the contrary, adjustment for 'immortal time bias' using time-dependent models may lead to misleading results biased towards against the treatment. However, artificial inclusion of immortal time in non-drug users to correct for immortal time bias may bias the result in favour of the therapy. In conclusion, drug use indication bias and prevalent user bias but not immortal time bias are major biases in the design and analysis of drug use effects among patients with diabetes in non-clinical trial settings.

The relationship between visceral adiposity and cardiometabolic risk in Chinese women with polycystic ovary syndrome.

OBJECTIVE: To compare the extent to which visceral adiposity, as measured by mesenteric fat thickness, contribute to cardiometabolic risk, especially insulin resistance, in women with PCOS and healthy control. METHODS: This is a cross-sectional study with a total of 190 women with PCOS fulfilling the Rotterdam diagnostic criteria. Women without PCOS were recruited from a previous study, which comprised 416 healthy women controls with normal glucose tolerance. All subjects underwent OGTT, biochemical assessment, and sonographic assessment with measurements of mesenteric, preperitoneal and subcutaneous fat thickness. RESULTS: Mesenteric fat thickness was strongly correlated to cardiometabolic traits including blood pressure, fasting and 2-h glucose, triglycerides, HOMA-IR; and was negatively correlated to HDL-C in both cohorts (all p < 0.01). In PCOS, positive correlation was observed between mesenteric fat thickness and free androgen index (p < 0.01). Compared with controls, the regression line between mesenteric fat and HOMA-IR is much steeper in PCOS (p < 0.01). CONCLUSION: Women with PCOS remain more insulin resistant compared to controls at any given degree of visceral adiposity.

Independent predictive roles of eotaxin Ala23Thr, paraoxonase 2 Ser311Cys and beta-adrenergic receptor Trp64Arg polymorphisms on cardiac disease in Type 2 Diabetes--an 8-year prospective cohort analysis of 1297 patients.

AIMS: To examine the independent and joint effects of multiple genetic variants on a cardiac end-point in an 8-year prospective study of a Chinese diabetic cohort. METHODS: Seventy-seven single nucleotide polymorphisms (SNPs) of 53 candidate genes for inflammation, thrombosis, vascular tone regulation and lipid metabolism were genotyped in 1297 Chinese patients with no prior history of coronary heart disease (CHD) or heart failure at baseline. Cardiac end-point was defined by the occurrence of CHD and/or heart failure. RESULTS: In Cox regression model, after adjustment for baseline confounding variables including age, sex, smoking status, duration of diabetes, glycaemic control, lipid levels, waist circumference, blood pressure, albuminuria and estimated glomerular filtration rate, genetic variants, including Ala/Ala of SCYA11 (eotaxin) Ala23Thr, Cys/Cys or Cys/Ser of PON2 (paraoxonase 2) Ser311Cys and Arg/Arg of ADRB3 (beta3-adrenergic receptor) Trp64Arg, were independently associated with incident cardiac end-point, with respective hazard ratios (95% confidence interval) of 1.70 (1.10-2.61, P=0.037), 1.42 (1.08-1.88, P=0.013) and 3.84 (1.18-12.50, P=0.025). Analysis of the joint effect of the risk alleles showed significant increased risk of the cardiac end-point with increasing number of risk alleles (P<0.001). The adjusted risk for the cardiac end-point was 4.11 (P=0.002) for patients carrying four risk alleles compared with those carrying one or no risk allele. CONCLUSIONS: The independent risk conferred by genetic variants encoding pathways such as inflammation and lipid metabolism, not adequately reflected by conventional biomarkers, may identify high-risk individuals for intensified control of modifiable risk factors.

Association of the POU class 2 homeobox 1 gene (POU2F1) with susceptibility to Type 2 diabetes in Chinese populations.

AIMS: POU class 2 homeobox 1 (POU2F1), also known as octamer-binding transcription factor-1 (OCT-1), is a ubiquitous transcription factor that plays a key role in the regulation of genes related to inflammation and cell cycles. POU2F1 is located on chromosome 1q24, a region with linkage for Type 2 diabetes in Chinese and other populations. We examined the association of POU2F1 genetic variants with Type 2 diabetes in Hong Kong Chinese using two independent cohorts. METHODS: We genotyped five haplotype-tagging single nucleotide polymorphisms at POU2F1 in 1378 clinic-based patients with Type 2 diabetes and 601 control subjects, as well as 707 members from 179 families with diabetes. RESULTS: We found significant associations of rs4657652, rs7532692, rs10918682 and rs3767434 (OR = 1.26-1.59, 0.0003 < P(unadjusted) < 0.035) with Type 2 diabetes in the clinic-based case-control cohorts. Rs3767434 was also associated with Type 2 diabetes (OR = 1.55, P(unadjusted) = 0.013) in the family-based cohort. Meta-analysis revealed similar associations. In addition, the risk G allele of rs10918682 showed increased usage of insulin treatment during a mean follow-up period of 7 years [hazard ratio = 1.50 (1.05-2.14), P = 0.025]. CONCLUSIONS: Using separate cohorts, we observed consistent results showing the contribution of multiple variants at POU2F1 to the risk of Type 2 diabetes.

Phenotype-genotype interactions on renal function in type 2 diabetes: an analysis using structural equation modelling.

AIMS/HYPOTHESIS: Cardiovascular and renal diseases share common risk factors. We used structural equation modelling (SEM) to evaluate the independent and combined effects of phenotypes and genotypes implicated in cardiovascular diseases on renal function in type 2 diabetes. METHODS: 1,188 type 2 diabetic patients were stratified into high-risk and low-risk groups according to bimodal distributions of the logarithmically transformed (log(e)) urinary albumin:creatinine ratio and plasma creatinine levels. Models for these groups, comprising continuous and non-ranking categorical data, were developed separately to evaluate the inter-relationships among measured variables and latent factors using non-linear SEMs, Bayesian estimation and model selection as assessed by a goodness-of-fit statistic. RESULTS: Inter-correlated measured variables (obesity, glycaemia, lipid, blood pressure) and variants of the genes encoding endothelial nitric oxide synthase (NOS), beta-adrenergic receptor (ADRB), components of the renin-angiotensin system (RAS) and lipid metabolism were loaded onto their respective latent factors of phenotypes and genotypes. In addition to direct and indirect effects, latent factors of obesity, lipid and BP interacted with latent factors of ADRB and RAS genotypes to influence renal function. Together with variants of the genes encoding peroxisome proliferator-activated receptor gamma, atrial natriuretic peptide, adducin, G protein beta(3) subunit, epithelial sodium channel alpha subunit and matrix metallopeptidase 3, these parameters explained 39-80% of the variance in renal function in the high-risk and low-risk models. CONCLUSIONS/INTERPRETATION: SEM is a useful tool for confirming and quantifying multiple interactions of biological pathways with genetic determinants. The combined and interactive effects of blood pressure, lipid and obesity on renal function may have therapeutic implications, especially in type 2 diabetic individuals with genetic risk factors.

Associations of insulin-like growth factor binding protein-3 gene polymorphisms with IGF-I activity and lipid parameters in adolescents.

OBJECTIVE: Childhood obesity is a growing global epidemic. Recent studies indicate that obesity and related metabolic traits are highly heritable. Increasing evidence suggests that growth hormone (GH) and the insulin-like growth factor-I (IGF-I) axis have important functions in regulating adiposity and insulin sensitivity. Five single-nucleotide polymorphisms (SNPs) at IGF-binding protein-3 (IGFBP3) were genotyped to find their associations with IGF-1 activity level and common clinical metabolic traits. PATIENTS AND METHODS: We examined the associations of five SNPs at IGFBP3 with serum IGF-I and IGFBP-3 levels, as well as with obesity-related metabolic traits in 981 Hong Kong Chinese adolescents. Factor analysis was used to reduce the intercorrelated variables to five factor scores indicating body composition, blood pressure, IGF-I activity, triglyceride (TG)+high-density lipoprotein cholesterol (HDL-C) and total cholesterol (TC)+low-density lipoprotein cholesterol (LDL-C) factor scores. RESULTS: There was a strong association between the -202A/C polymorphism (rs2854744) and IGF-I activity (P=1.2 x 10(-6)) and TC+LDL-C factor scores (P=0.0085), corrected for age and sex. The C allele was associated with decreased IGFBP-3 levels (P=1.21 x 10(-13)), increased IGF-I/IGFBP-3 molar ratio (P=5.22 x 10(-6)) and decreased LDL-C (P=0.020). There was also a significant association between a G/A polymorphism at the 3' flanking sequence (rs13223993) of the IGFBP3 gene and the TG+HDL-C factor score (P=0.0013). The minor A allele carriers of rs13223993 had a lower HDL-C (P=0.0067) level and a tendency toward a high TG level. Haplotype analysis did not increase the significance of associations between single SNPs and phenotypes. CONCLUSION: Our results support the function of IGFBP3 gene polymorphisms in modulating IGF-I activity and lipid levels in adolescents. Given the prognostic significance of IGF-I, IGFBPs and lipids on risk of diabetes, obesity and cancer, long-term studies are required to clarify the clinical meaning of these findings.

Cardiovascular risks and metabolic syndrome in Hong Kong Chinese women with polycystic ovary syndrome.

BACKGROUND: Women with polycystic ovary syndrome (PCOS) frequently exhibit central obesity, glucose intolerance, atherogenic dyslipidaemia and hypertension which are characteristic features of the metabolic syndrome (MetS). METHODS: A total of 295 premenopausal Chinese women with PCOS diagnosed by the Rotterdam criteria (mean age: 30.2 +/- 6.4 years) and 98 control subjects without PCOS were evaluated for prevalence of MetS and cardiovascular risk factors, including dyslipidaemia and dysglycaemia. RESULTS: Using the 2005 modified Adult Treatment Panel III criteria, MetS (presence of three or more risk factors) was found in 24.9% of PCOS women compared to 3.1% of controls. The prevalence of MetS in PCOS women increased from 16.7% at under 30 years of age to 53.3% at over 40 years. MetS was also more prevalent in overweight and obese (41.3%) than normal-weight PCOS women (0.9%). However, multivariate regression analysis showed that women with PCOS had a 5-fold increase in risk of MetS (odds ratio 4.90; 95% confidence interval: 1.35-17.84) compared with women without PCOS even after controlling for age and BMI, suggesting PCOS alone is an independent risk factor for MetS. CONCLUSIONS: There is high prevalence of MetS in Hong Kong Chinese women with PCOS despite their relatively young age. Recognition of these cardiometabolic risk factors requires a high level of awareness in conjunction with early and regular screening.

The NCEP-ATPIII but not the IDF criteria for the metabolic syndrome identify Type 2 diabetic patients at increased risk of chronic kidney disease.

AIM: To examine the association between chronic kidney disease (CKD) and the metabolic syndrome (MetS) using both International Diabetes Federation (IDF) and National Cholesterol Education Program's Adult Treatment Panel III (NCEP-ATPIII) definitions in Chinese subjects with Type 2 diabetes. METHODS: Subjects with Type 2 diabetes were categorized according to the presence or absence of MetS by IDF or NCEP-ATPIII criteria. CKD was considered present if glomerular filtration rate, calculated using the abbreviated equation developed by the Modification of Diet in Renal Disease study with Chinese modification, was < 60 ml/min per 1.73 m2. Multivariate logistic regression analysis of the association between CKD and MetS by either definition was performed. RESULTS: Of 6350 subjects (mean age 55.1 +/- 13.3 years), 3439 (54.2%) and 3204 (50.5%) had MetS by IDF and NCEP-ATPIII definitions, respectively. Using the IDF definition, the presence of MetS was not associated with CKD [odds ratio (OR) 0.96, 95% confidence interval (CI) 0.71, 1.29, P = 0.784]. In contrast, the association with CKD was significant when MetS was defined by the NCEP-ATPIII definition (OR 1.75, 95% CI 1.37, 2.24, P < 0.001). In subjects who did not have MetS (n = 2911) as defined by IDF criteria, 997 fulfilled the MetS criteria of NCEP-ATP III. The association with CKD was stronger, after adjustment for covariates, in these subjects (OR 1.42, 95% CI 1.03, 1.97, P = 0.032) compared with subjects who met IDF criteria of MetS. CONCLUSION: In Type 2 diabetes, NCEP-ATPIII, but not the IDF definition of MetS, identifies a subgroup of patients who have a higher risk of CKD.

Effectiveness of smartphone technologies on glycaemic control in patients with type 2 diabetes: systematic review with meta-analysis of 17 trials.

Patient education and behavioural interventions for self-management of type 2 diabetes mellitus (T2DM) are effective but place demands on manpower resources. This systematic review aimed to investigate the effectiveness of smartphone technologies (STs) for improving glycaemic control among T2DM patients. CENTRAL, MEDLINE, Embase, CINAHL and ScienceDirect were searched through December 2016. Randomized controlled trials comparing STs with usual diabetes care among T2DM patients and reporting change in glycated haemoglobin (HbA1c) level were included. Seventeen trials (2,225 participants) were included. There was a significant reduction in HbA1c (pooled weighted mean difference: -0.51%; 95% confidence interval: -0.71% to -0.30%; p < 0.001), favouring ST intervention. The pooled weighted mean difference was -0.83% in patients with T2DM <8.5 years and -0.22% in patients with T2DM ≥8.5 years, with significant subgroup difference (p = 0.007). No subgroup differences were found among different follow-up durations, trial locations, patients' age, healthcare provider contract time, baseline body mass index and baseline HbA1c. Compared with usual diabetes care, STs improved glycaemic control among T2DM patients, especially for patients at earlier disease stages (duration of diagnosis <8.5 years). STs could be a complement or alternative to labour-intensive patient education and behavioural interventions, but more studies on up-to-date technologies are needed.

Developmental origins of type 2 diabetes: a perspective from China.

There has been a marked increase in the prevalence of diabetes in Asia, including China, over the last few decades. While the increased prevalence of diabetes has often been attributed to the nutritional transition associated with recent economic development, emerging data suggest that early-life exposures also play a major role in shaping developmental trajectories, and contributes to alter an individual's susceptibility to diabetes and other non-communicable diseases (NCDs). Early-life exposures such as in utero exposure to undernutrition has been consistently linked with later risk of diabetes and obesity. Furthermore, in utero exposure to maternal hyperglycemia, maternal obesity and excess gestational weight gain are all linked with increased childhood obesity and later risk of diabetes. Emerging data have also highlighted the potential link between early-feeding practices, the role of one-carbon metabolism in metabolic programming and endocrine disrupting chemicals (EDCs) with later risk of diabetes. These different developmental exposures may all be highly relevant to the current epidemic of diabetes in China. For example, the prevalence of gestational diabetes has increased markedly over the last two decades, and may contribute to the diabetes epidemic by driving macrosomia, childhood obesity and later risk of diabetes. In order to address the current burden of diabetes, a lifecourse perspective, incorporating multisectoral efforts from public health policy down to the individuals, will be needed. Several major initiatives have been launched in China as part of its national plans for NCD prevention and treatment, and the experience from these efforts would be invaluable.

Polycystic ovarian syndrome in Hong Kong Chinese women: patient characteristics and diagnostic criteria.

OBJECTIVES: To identify the characteristics of Hong Kong Chinese women with polycystic ovarian syndrome and to compare different diagnostic criteria. DESIGN: Retrospective study. SETTING: Gynae-endocrinology Clinics in the Prince of Wales Hospital, Hong Kong. PATIENTS: Ninety Hong Kong Chinese women with polycystic ovarian syndrome who were diagnosed according to the hospital's criteria. MAIN OUTCOME MEASURES: Prevalence of typical features of polycystic ovarian syndrome, including anovulation and hyperandrogenism (with other endocrine causes excluded), polycystic ovarian features on ultrasonography, luteinising hormone predominance, obesity, and insulin resistance. RESULTS: Almost all (98.9%) patients with polycystic ovarian syndrome presented with anovulation, only 48.9% of them had clinical or biochemical evidence of hyperandrogenism. Typical ultrasound appearances of polycystic ovaries were observed in 86.7% of patients. Luteinising hormone predominance and insulin resistance were demonstrated in 67.8% and 40.7% of the cohort, respectively. Eight-six (95.6%) patients should have also been diagnosed with polycystic ovarian syndrome based on the 2003 Rotterdam new criteria. About 60% of patients who screened positive for insulin resistance had normal fasting serum glucose levels. The same proportion who had full screening for insulin resistance by oral glucose tolerance tests and fasting serum glucose to insulin ratios had discordant results of these two tests. CONCLUSIONS: The 2003 Rotterdam new diagnostic criteria for polycystic ovarian syndrome are generally applicable to the Hong Kong Chinese population. Early detection of insulin resistance in patients with polycystic ovarian syndrome can be ensured by performing an oral glucose tolerance test combined with measurement of fasting serum glucose to insulin ratio.